To get the most out of this book
The code provided in the chapters has been tested on a computer with Python 3.10, Ubuntu 20.04 LTS 64-bit OS, 32 GB RAM, and an RTX 2080TI GPU for running deep learning models. Although the code has been tested on this specific setup, it may also work on other configurations; however, compatibility and performance are not guaranteed. Python dependencies are included in the requirements.txt file for easy installation in each chapter’s respective GitHub folders. Additionally, some non-Python software might be required; their installation instructions will be mentioned at the beginning of each relevant tutorial. For these software installations, you need to refer to external manuals or guides to install them. Do keep in mind the potential differences in system configurations as you carry out the practical code sections in this book.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.
